agent0-sdk 1.2.0

Python SDK for agent portability, discovery and trust based on ERC-8004

Agent0 SDK

Python SDK for agent portability, discovery and trust based on ERC-8004.

Agent0 is the SDK for agentic economies. It enables agents to register, advertise their capabilities and how to communicate with them, and give each other feedback and reputation signals. All this using blockchain infrastructure (ERC-8004) and decentralized storage, enabling permissionless discovery without relying on proprietary catalogues or intermediaries.

What Does Agent0 SDK Do?

Agent0 SDK enables you to:

• Create and manage agent identities - Register your AI agent on-chain with a unique identity, configure presentation fields (name, description, image), set wallet addresses, and manage trust models with x402 support
• Advertise agent capabilities - Publish MCP and A2A endpoints, with automated extraction of MCP tools and A2A skills from endpoints
• OASF taxonomies - Advertise standardized skills and domains using the Open Agentic Schema Framework (OASF) taxonomies for better discovery and interoperability
• Enable permissionless discovery - Make your agent discoverable by other agents and platforms using rich search by attributes, capabilities, skills, tools, tasks, and x402 support
• Build reputation - Give and receive feedback, retrieve feedback history, and search agents by reputation with cryptographic authentication
• Cross-chain registration - One-line registration with IPFS nodes, Pinata, Filecoin, or HTTP URIs
• Public indexing - Subgraph indexing both on-chain and IPFS data for fast search and retrieval

Bug reports & feedback: GitHub: Report issues | Telegram: Agent0 channel | Email: [e-mail]

Installation

Prerequisites

• Python 3.8 or higher
• pip package manager
• Private key for signing transactions (or run in read-only mode)
• Access to an Ethereum RPC endpoint (e.g., Alchemy, Infura)
• (Optional) IPFS provider account (Pinata, Filecoin, or local IPFS node)

Install from PyPI

pip install agent0-sdk

Install from Source

git clone https://github.com/agent0lab/agent0-py.git
cd agent0-py
pip install -e .

Quick Start

1. Initialize SDK

from agent0_sdk import SDK
import os

# Initialize SDK with IPFS and subgraph
sdk = SDK(
    chainId=11155111,  # Ethereum Sepolia testnet
    rpcUrl=os.getenv("RPC_URL"),
    signer=os.getenv("PRIVATE_KEY"),
    ipfs="pinata",  # Options: "pinata", "filecoinPin", "node"
    pinataJwt=os.getenv("PINATA_JWT")  # For Pinata
    # Subgraph URL auto-defaults from DEFAULT_SUBGRAPH_URLS
)

2. Create and Register Agent

# Create agent
agent = sdk.createAgent(
    name="My AI Agent",
    description="An intelligent assistant for various tasks. Skills: data analysis, code generation.",
    image="https://example.com/agent-image.png"
)

# Configure endpoints (automatically extracts capabilities)
agent.setMCP("https://mcp.example.com/")  # Extracts tools, prompts, resources
agent.setA2A("https://a2a.example.com/agent-card.json")  # Extracts skills
agent.setENS("myagent.eth")

# Add OASF skills and domains (standardized taxonomies)
agent.addSkill("data_engineering/data_transformation_pipeline", validate_oasf=True)
agent.addSkill("natural_language_processing/natural_language_generation/summarization", validate_oasf=True)
agent.addDomain("finance_and_business/investment_services", validate_oasf=True)
agent.addDomain("technology/data_science/data_science", validate_oasf=True)

agent.setTrust(reputation=True, cryptoEconomic=True)

# Add metadata and set status
agent.setMetadata({"version": "1.0.0", "category": "ai-assistant"})
agent.setActive(True)

# Register on-chain with IPFS
agent.registerIPFS()
print(f"Agent registered: {agent.agentId}")  # e.g., "11155111:123"
print(f"Agent URI: {agent.agentURI}")  # e.g., "ipfs://Qm..."

# (Optional) Change the agent wallet after registration
# - On mint/registration, `agentWallet` defaults to the current owner address.
# - Call this only if you want a DIFFERENT wallet (or after a transfer, since the wallet resets to zero).
# - Transaction is sent by the SDK signer (agent owner), but the signature must be produced by the NEW wallet.
agent.setAgentWallet(
    "0x742d35Cc6634C0532925a3b844Bc9e7595f0bEb",
    chainId=11155111,
    new_wallet_signer=os.getenv("NEW_WALLET_PRIVATE_KEY"),
)

3. Load and Edit Agent

# Load existing agent for editing
agent = sdk.loadAgent("11155111:123")  # Format: "chainId:agentId"

# Edit agent properties
agent.updateInfo(description="Updated description with new capabilities")
agent.setMCP("https://new-mcp.example.com/")

# Re-register to update on-chain
agent.registerIPFS()
print(f"Updated: {agent.agentURI}")

4. Search Agents

# Search by name, capabilities, or attributes
results = sdk.searchAgents(
    name="AI",  # Substring search
    mcpTools=["code_generation"],  # Specific MCP tools
    a2aSkills=["python"],  # Specific A2A skills
    active=True,  # Only active agents
    x402support=True  # Payment support
)

for agent in results['items']:
    print(f"{agent.name}: {agent.description}")
    print(f"  Tools: {agent.mcpTools}")
    print(f"  Skills: {agent.a2aSkills}")

# Get single agent (read-only, faster)
agent_summary = sdk.getAgent("11155111:123")

5. Give and Retrieve Feedback

# On-chain-only feedback (no off-chain upload, even if IPFS is configured)
feedback = sdk.giveFeedback(
    agentId="11155111:123",
    value=85,  # number|string
    tag1="data_analyst",  # Optional: tags are strings
    tag2="finance",
    endpoint="https://example.com/endpoint",  # Optional: saved on-chain
)

# Rich feedback (optional off-chain file + on-chain fields)
feedback_file = sdk.prepareFeedbackFile({
    "capability": "tools",       # Optional: MCP capability
    "name": "code_generation",   # Optional: MCP tool name
    "skill": "python",           # Optional: A2A skill
    "text": "Great agent!",      # Optional
})

feedback = sdk.giveFeedback(
    agentId="11155111:123",
    value=85,
    tag1="data_analyst",
    tag2="finance",
    endpoint="https://example.com/endpoint",
    feedbackFile=feedback_file,  # If provided, requires IPFS configured
)

# Search feedback
results = sdk.searchFeedback(
    agentId="11155111:123",
    capabilities=["tools"],
    minValue=80,
    maxValue=100
)

# Get reputation summary
summary = sdk.getReputationSummary("11155111:123")
print(f"Average value: {summary['averageValue']}")

IPFS Configuration Options

# Option 1: Filecoin Pin (free for ERC-8004 agents)
sdk = SDK(
    chainId=11155111,
    rpcUrl="...",
    signer=private_key,
    ipfs="filecoinPin",
    filecoinPrivateKey="your-filecoin-private-key"
)

# Option 2: IPFS Node
sdk = SDK(
    chainId=11155111,
    rpcUrl="...",
    signer=private_key,
    ipfs="node",
    ipfsNodeUrl="https://ipfs.infura.io:5001"
)

# Option 3: Pinata (free for ERC-8004 agents)
sdk = SDK(
    chainId=11155111,
    rpcUrl="...",
    signer=private_key,
    ipfs="pinata",
    pinataJwt="your-pinata-jwt-token"
)

# Option 4: HTTP registration (no IPFS)
sdk = SDK(chainId=11155111, rpcUrl="...", signer=private_key)
agent.register("https://example.com/agent-registration.json")

OASF Taxonomies

The SDK includes support for the Open Agentic Schema Framework (OASF) taxonomies, enabling agents to advertise standardized skills and domains. This improves discoverability and interoperability across agent platforms.

Adding Skills and Domains

# Add OASF skills (with optional validation)
agent.addSkill("advanced_reasoning_planning/strategic_planning", validate_oasf=True)
agent.addSkill("data_engineering/data_transformation_pipeline", validate_oasf=True)

# Add OASF domains (with optional validation)
agent.addDomain("finance_and_business/investment_services", validate_oasf=True)
agent.addDomain("technology/data_science/data_visualization", validate_oasf=True)

# Remove skills/domains
agent.removeSkill("old_skill")
agent.removeDomain("old_domain")

OASF in Registration Files

OASF skills and domains appear in your agent's registration file:

{
  "endpoints": [
    {
      "name": "OASF",
      "endpoint": "https://github.com/agntcy/oasf/",
      "version": "0.8",
      "skills": [
        "advanced_reasoning_planning/strategic_planning",
        "data_engineering/data_transformation_pipeline"
      ],
      "domains": [
        "finance_and_business/investment_services",
        "technology/data_science/data_science"
      ]
    }
  ]
}

Taxonomy Files

The SDK includes complete OASF v0.8.0 taxonomy files:

• Skills: agent0_sdk/taxonomies/all_skills.json (136 skills)
• Domains: agent0_sdk/taxonomies/all_domains.json (204 domains)

Browse these files to find appropriate skill and domain slugs. For more information, see the OASF specification and Release Notes v0.31.

Use Cases

• Building agent marketplaces - Create platforms where developers can discover, evaluate, and integrate agents based on their capabilities and reputation
• Agent interoperability - Discover agents by specific capabilities (skills, tools, tasks), evaluate them through reputation signals, and integrate them via standard protocols (MCP/A2A)
• Managing agent reputation - Track agent performance, collect feedback from users and other agents, and build trust signals for your agent ecosystem
• Cross-chain agent operations - Deploy and manage agents across multiple blockchain networks with consistent identity and reputation

🚀 Coming Soon

• More chains (currently Ethereum Sepolia only)
• Support for validations
• Enhanced x402 payments
• Semantic/Vectorial search
• Advanced reputation aggregation
• Import/Export to centralized catalogues

Tests

Complete working examples are available in the tests/ directory:

• test_registration.py - Agent registration with HTTP URI
• test_registrationIpfs.py - Agent registration with IPFS
• test_feedback.py - Complete feedback flow with IPFS storage
• test_search.py - Agent search and discovery
• test_transfer.py - Agent ownership transfer
• test_oasf_management.py - OASF skills/domains management (unit tests)
• test_real_public_servers.py - Endpoint crawler against real public MCP/A2A servers
• test_multi_chain.py - Multi-chain read-only operations (subgraph-based)

Documentation

Full documentation is available at sdk.ag0.xyz, including:

• Installation Guide
• Agent Configuration
• Registration
• Search
• Feedback
• Key Concepts
• API Reference

License

Agent0 SDK is MIT-licensed public good brought to you by Marco De Rossi in collaboration with Consensys, 🦊 MetaMask and Agent0, Inc. We are looking for co-maintainers. Please reach out if you want to help.

Thanks also to Edge & Node (The Graph), Protocol Labs and Pinata for their support.